University of Jaffna‚ Vavuniya‚ Sri Lanka 2 Department of Statistics & Computer Science‚ University of Peradeniya‚ Sri Lanka. {shakeelas@mail.vau.jfn.ac.lk‚ salukak@pdn.ac.lk} Abstract: Texture is one of the important features used in CBIR systems. The methods of characterizing texture fall into two major categories: Statistical and Structural. An experimental comparison of a number of different texture features for content-based image retrieval is presented in this paper. The primary goal
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ID 310973 Contact Details: Contact Person Address Telephone No. Fax No. Email Mr. Tan Hwa Seong 3 Jalan Datuk Sulaiman 2‚ TTDI‚ 6000 Kuala Lumpur Malaysia +60 122862816 +60 377107300 roysten.tan@gmail.com STRATEGIC BUSINESS ANALYSIS MCDONALD ’S CASE STUDY Table of Contents EXECUTIVE OVERVIEW............................................................................................. I-4 TASK I. 2003 SWOT ANALYSIS....................................................................
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Word Processing Definitions 1. Word Processing--a computerized method of writing‚ editing‚ saving‚ and printing text 2. Text--another name for alphabetical data that was entered 3. Character--any letter‚ number‚ or symbol typed on the keyboard 4. Data--information entered into the computer 5. Word Wrap--letting the computer decide where to end each line (typing text without pushing return at the end of each line) | 6. Document--anything produced on a word processing program 7. Cursor--a
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Image Processing Rajasekar S‚ Mohammed Nizar S ECE Department‚ Third Year RMK Engineering College raja.peak@gmail.com smohamednizar@gmail.com +919789356115 +919840515626 Abstract— This document talks about the use of image processing as one of the most crucial element of developing Futuristic Technologies in various fields. I. What is Image processing? Image processing is a method to convert an image into digital form and perform some operations on it‚ in order to get an enhanced
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Symbolic processing is the most powerful feature of matlab. We can solve even most complex equations very easily in matlab that are very difficult to solve by hand. Matlab performs symbolic processing to obtain answers in the form of expressions. Symbolic processing is the term used to describe how a computer performs operations on mathematical expressions. To improve engineering designs by modeling it with mathematical expressions that do not have specific parameter values are very difficult to
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Elementary Introduction to Image Processing Based Robots 2009 Acknowledgement P age |2 • My Senior Sourabh Sankule • My Friends Mayank and Ashish • Robotics Club‚ IIT Kanpur • Electronics Club‚ IIT Kanpur • Centre for Mechatronics‚ IIT Kanpur Ankur Agrawal IIT Kanpur P age |3 Contents Introduction ................................................................................................................ 4 MATLAB ............................................
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the world’s largest fast food chain restaurant‚ primarily selling hamburgers‚ chicken‚ french fries and carbonated drinks. The business was begun in 1940‚ with a restaurant opened by siblings Dick and Mac McDonald in San Bernardino‚ California. Their introduction of the "Speedee Service System" in 1948 established the principles of the modern fast-food restaurant. The present corporation dates its founding to the opening of its first franchised restaurant by Ray Kroc‚ in Des Plaines‚ Illinois on
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240 - INTRODUCTION TO DATA PROCESSING/MANGEMENT OF INFORMATION TECHNOLOGY Objectives To give a thorough and up-to-date grounding in the realities of commercial applications of Information and Communication Technologies (ICT’s). To Examine the roles of data‚ information and knowledge within modern business organisations‚ and the roles that information and communication technologies (ICT’s) play in supporting people and groups within organisations. To provide students with a thorough understanding
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2 Areas of data processing 1. Business Data processing (BDP) . Business data processing is characterized by the need to establish‚ retain‚ and process files of data for producing useful information. Generally‚ it involves a large volume of input data‚ limited arithmetical operations‚ and a relatively large volume of output. For example‚ a large retail store must maintain a record for each customer who purchases on account‚ update the balance owned on each account‚ and a periodically present a
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FILTERING ABSTRACT The existing system available for fuzzy filters for noise reduction deals with fat-tailed noise like impulse noise and median filter. Only impulse noise reduction uses fuzzy filters. Gaussian noise is not specially concentrated; it does not distinguish local variation due to noise and due to image structure. The proposed system presents a new technique for filtering narrow-tailed and medium narrow-tailed noise by a fuzzy filter. The system first estimates a “fuzzy derivative”
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